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Knowledge Base for AI

A Knowledge Base for AI is a curated repository of information—documents, FAQs, transcripts, and brand guidelines—that empowers an AI agent to answer questions accurately and represent expertise authentically.

Understanding Knowledge Base for AI

An AI agent is only as smart as the knowledge it can access. A well-structured Knowledge Base transforms a generic AI into a specialized expert that speaks with your authority on your topics.

Building an effective Knowledge Base involves more than dumping documents. It requires curation: identifying what information the AI needs, structuring it for retrieval, and maintaining it as your expertise evolves. The goal is to give the AI "ground truth" to draw from.

In the context of agentic sessions, the Knowledge Base enables deep Q&A. When an attendee asks something beyond the slide content, the host searches the Knowledge Base to provide accurate, contextual answers—not hallucinated guesses.

How Seminara Delivers This

Seminara's Knowledge Base feature lets you upload documents, FAQs, and brand content that Aura uses during sessions. Combined with Hivemind (collective brand intelligence), Aura answers with depth and accuracy that reflects your real expertise.

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Frequently Asked Questions

What should I include in my Knowledge Base?

FAQs, product documentation, case studies, technical specs, common objections and responses, brand voice guidelines, and any content you'd use to answer customer questions yourself.

How does the AI avoid making things up?

When properly configured, Aura grounds responses in the Knowledge Base. If an answer isn't available, she acknowledges the limitation rather than fabricating—this is called staying within "guardrails."

How often should the Knowledge Base be updated?

Whenever your product, pricing, policies, or expertise meaningfully changes. Regular reviews (monthly or quarterly) help keep AI responses current and accurate.

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